Brain potential responses involved in decision-making in weightlessness

Cebolla, Ana Maria; Petieau, Mathieu; Palmero‐Soler, Ernesto; Chéron, Guy

doi:10.1038/s41598-022-17234-8

Cited by 6 publications

(4 citation statements)

References 49 publications

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“…More, even if there appears to be a consensus that P300 has multiple neural generators, the brain sources found in present study are compatible with previous findings in the literature indicating temporal-parietal junction and adjacent areas clusters 67 . Previous studies have found that P300 component also appear after response-locking EEG and is thought to vary with risk level, motivational and emotional outcomes 68 , 69 . As mentioned earlier, deception in this study is also related to risk, motivation, and emotion.…”

Section: Discussionmentioning

confidence: 98%

The role of conflict processing mechanism in deception responses

Huang

Li²,

Chen³

et al. 2022

Sci Rep

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A considerable number of studies have described the potential neural mechanism of deception, but most deception studies have relied upon deception from experimental supervisor instruction. Experimental control (participants follow instructions to deceive without any risk) means that the deception occurs in a way that does not come close to the real deception. In the current study, a neural imaging experiment on deception closer to the real deception was conducted. Event-related potential (ERP) and event-related spectral perturbation (ERSP) techniques were used to explore the neural mechanism of deception. The results showed that deceptive response evoked larger medial-frontal negativity (MFN) and smaller response-locked positivity (RLP) than truthful response. We interpret these findings to indicate that conflict detection and emotional processing are associated with deception. In addition, magnitudes of alpha and beta oscillations after the deceptive response were significantly smaller than those after the truthful response, demonstrating that deception is associated with neural oscillations reflecting conflict adjustment. The results comprehensively characterized the physiological properties of the brain oscillations elicited by a deceptive response and provided a theoretical foundation for detection in practical applications.

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Section: Discussionmentioning

confidence: 98%

The role of conflict processing mechanism in deception responses

Huang

Li²,

Chen³

et al. 2022

Sci Rep

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“…For example, Cebolla, A.M., et al proposed a study on scalp EEG in a weightless state, which indicated that the cerebellum and the vestibular network’s involvement in weightlessness might support the correction signals processing necessary for postural stabilization. Furthermore, they also demonstrated the cerebellar contribution to the P300 on Earth [ 6 , 7 ]. Andersen, L.M., et al proposed practical guidelines to optimize the detection of cerebellar activity with MEG and EEG [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Identification and Verification of Error-Related Potentials Based on Cerebellar Targets

Niu,

Yan,

Yin

et al. 2024

Brain Sciences

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The error-related potential (ErrP) is a weak explicit representation of the human brain for individual wrong behaviors. Previously, ErrP-related research usually focused on the design of automatic correction and the error correction mechanisms of high-risk pipeline-type judgment systems. Mounting evidence suggests that the cerebellum plays an important role in various cognitive processes. Thus, this study introduced cerebellar information to enhance the online classification effect of error-related potentials. We introduced cerebellar regional characteristics and improved discriminative canonical pattern matching (DCPM) in terms of data training and model building. In addition, this study focused on the application value and significance of cerebellar error-related potential characterization in the selection of excellent ErrP-BCI subjects (brain–computer interface). Here, we studied a specific ErrP, the so-called feedback ErrP. Thirty participants participated in this study. The comparative experiments showed that the improved DCPM classification algorithm proposed in this paper improved the balance accuracy by approximately 5–10% compared with the original algorithm. In addition, a correlation analysis was conducted between the error-related potential indicators of each brain region and the classification effect of feedback ErrP-BCI data, and the Fisher coefficient of the cerebellar region was determined as the quantitative screening index of the subjects. The screened subjects were superior to other subjects in the performance of the classification algorithm, and the performance of the classification algorithm was improved by up to 10%.

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“…Space missions critically depend on the cognitive, sensory-motor and emotional performance of the spacecraft's crew. Adverse effects can occur during space flights [1][2][3][4][5], especially for long-duration space missions [6], making early detection and countermeasures implementation highly relevant. Neurocognitive assessment of crew members to detect possible cognitive and behavioral conditions which might pose a risk for the mission is essential [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…No systematic reports are available on the existence, nature, and extent of these interferences in in-flight extraterrestrial microgravity environments. Successful EEG studies have been performed and published on different aspects of the physiological and psychological impact of spaceflight conditions [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. However, skepticisms about the EEG signal quality and interferences remain.…”

Section: Introductionmentioning

confidence: 99%

Noise characteristics in spaceflight multichannel EEG

et al. 2023

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The cognitive performance of the crew has a major impact on mission safety and success in space flight. Monitoring of cognitive performance during long-duration space flight therefore is of paramount importance and can be performed using compact state-of-the-art mobile EEG. However, signal quality of EEG may be compromised due to the vicinity to various electronic devices and constant movements. We compare noise characteristics between in-flight extraterrestrial microgravity and ground-level terrestrial electroencephalography (EEG) recordings. EEG data recordings from either aboard International Space Station (ISS) or on earth’s surface, utilizing three EEG amplifiers and two electrode types, were compared. In-flight recordings showed noise level of an order of magnitude lower when compared to pre- and post-flight ground-level recordings with the same EEG system. Noise levels between ground-level recordings with actively shielded cables, and in-flight recordings without shielded cables, were similar. Furthermore, noise level characteristics of shielded ground-level EEG recordings, using wet and dry electrodes, and in-flight EEG recordings were similar. Actively shielded mobile dry EEG systems will support neuroscientific research and neurocognitive monitoring during spaceflight, especially during long-duration space missions.

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Brain potential responses involved in decision-making in weightlessness

Cited by 6 publications

References 49 publications

The role of conflict processing mechanism in deception responses

The role of conflict processing mechanism in deception responses

Identification and Verification of Error-Related Potentials Based on Cerebellar Targets

Noise characteristics in spaceflight multichannel EEG

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